Water-resonator-based metasurface : an ultrabroadband and near-unity absorption by Song, Qinghua, Zhang, Wu, Wu, Pin Chieh, Zhu, Weiming, Shen, Zhong Xiang, Chong, Peter Han Joo, Liang, Qing Xuan, Yang, Zhen Chuan, Hao, Yi Long, Cai, Hong, Zhou, Hai Feng, Gu, Yuandong, Lo, Guo-Qiang, Tsai, Din Ping, Bourouina, Tarik, Leprince-Wang, Yamin, Liu, Ai-Qun

Get full text

Conserved longitudinal alterations of anti-S-protein IgG subclasses in disease progression in initial ancestral Wuhan and vaccine breakthrough Delta infections by Goh, Yun Shan, Fong, Siew-Wai, Hor, Pei Xiang, Siti Naqiah Amrun, Lee, Cheryl Yi-Pin, Young, Barnaby Edward, Chia, Po Ying, Tambyah, Paul A., Kalimuddin, Shirin, Pada, Surinder, Tan, Seow-Yen, Sun, Louisa Jin, Chen, Mark I-Cheng, Leo, Yee-Sin, Lye, David C., Ng, Lisa F. P., Renia, Laurent

Get full text

Cross-reactive dengue human monoclonal antibody prevents severe pathologies and death from Zika virus infections by Kam, Yiu-Wing, Lee, Cheryl Yi-Pin, Teo, Teck-Hui, Howland, Shanshan W., Siti Naqiah Amrun, Lum, Fok-Moon, See, Peter, Kng, Nicholas Qing-Rong, Huber, Roland G., Xu, Mei-Hui, Tan, Heng-Liang, Choo, Andre, Maurer-Stroh, Sebastian, Ginhoux, Florent, Fink, Katja, Wang, Cheng-I, Ng, Lisa F.P., Rénia, Laurent

Get full text
Get full text

Clinical course, immunogenicity, and efficacy of BNT162b2 mRNA vaccination against SARS-CoV-2 infection in liver transplant recipients by Tan, Eunice X., Lim, Wen Hui, Thong, Elizabeth, Chavatte, Jean-Marc, Zhang, Jinyan, Lim, Jonathan, Jin, Jocelyn Y., Lim, Daniel R. X., Kang, Jaclyn Y. T., Tang, Ansel Shao Pin, Chan, Kai En, Tan, Caitlyn, Tan, Shi Ni, Nah, Benjamin, Huang, Daniel Q., Wang, Lin-Fa, Tambyah, Paul A., Somani, Jyoti, Young, Barnaby Edward, Muthiah, Mark D.

Get full text

Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus by Tam, Zhi Yang, Ng, Sean Pin, Tan, Ling Qiao, Lin, Chih-Hsien, Rothenbacher, Dietrich, Klenk, Jochen, Boehm, Bernhard Otto, Goh, Kelvin Kau Kiat, Suwanchaikasem, Pipob, Tipthara, Pornpimol, Koenig, W., Riepe, M., Peter, R., Geiger, H., Ludolph, A., Arnim, C. v., Denkinger, M. D., Yang, Song Yi, Nagel, G., Weinmayr, G., Rapp, K., Dallmeier, D., Steinacker, J. M., Laszlo, R., Becker, T., Stingl, J.

Get full text
Get full text

Phase-controllable growth of ultrathin 2D magnetic FeTe crystals by Kang, Lixing, Ye, Chen, Zhao, Xiaoxu, Zhou, Xieyu, Hu, Junxiong, Li, Qiao, Liu, Dan, Das, Chandreyee Manas, Yang, Jiefu, Hu, Dianyi, Chen, Jieqiong, Cao, Xun, Zhang, Yong, Xu, Manzhang, Di, Jun, Tian, Dan, Song, Pin, Kutty, Govindan, Zeng, Qingsheng, Fu, Qundong, Deng, Ya, Zhou, Jiadong, Ariando, Ariando, Miao, Feng, Hong, Guo, Huang, Yizhong, Pennycook, Stephen J., Yong, Ken-Tye, Ji, Wei, Wang, Renshaw Xiao, Liu, Zheng

Get full text

The impact of death and dying on the personhood of medical students : a systematic scoping review by Ho, Chong Yao, Kow, Cheryl Shumin, Chia, Joshua Chin Howe, Low, Jia Ying, Lai, Melvin Yong Hao, Lauw, Sarah-Kei, How, Ashley Ern Hui, Tan, Lorraine Hui En, Ngiam, Lisa Xin Ling, Chan, Natalie Pei Xin, Kuek, Joshua Tze Yin, Nur Haidah Ahmad Kamal, Chia, Jeng Long, Ahmad Hanifah Marican Abdurrahman, Chiam, Min, Ong, Yun Ting, Chin, Annelissa Mien Chew, Toh, Ying Pin, Mason, Stephen, Krishna, Lalit Kumar Radha

Get full text

16.07 Dynamics, Fall 2004 by Peraire, Jaume

Subjects: Get full text

16.100 Aerodynamics, Fall 2002 by Darmofal, David L.

Subjects: Get full text

Artificial neural networks solutions for solving differential equations: A focus and example for flow of viscoelastic fluid with microrotation by Abdullah, null, Faye, Ibrahima, Laila Amera, Aziz

“…PINN offers an alternative to classical numerical methods. …”
Get full text

Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network by Wang, Yu, Shi, Chao, Shi, Jiangwei, Lu, Hu

“…Different random seeds are used to test the robustness of the PINN developed and quantify the associated model uncertainty. …”
Get full text

Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool by Mukhmetov, Olzhas, Zhao, Yong, Mashekova, Aigerim, Zarikas, Vasilios, Ng, Eddie Yin Kwee, Aidossov, Nurduman

“…This work presents the development of a novel Physics-Informed Neural Network (PINN) method for fast forward simulation of heat transfer through cancerous breast models. …”
Get full text

Cationic distribution, exchange interactions, and relaxation dynamics in Zn-diluted MnCo2O4 nanostructures by Tiwari, Nidhi, Pramanik, P., Joshi, D. C., Sarkar, T., Pittala, S., Salman, O. O., Manga, M.-M., Thota, S.

“…This behavior is similar to the de Almeida-Thouless (AT-line) analysis in the T-H phase diagram which supports the existence of spin-glass like behavior below TF in these Zn diluted spinels.…”
Get full text
Get full text

Direct observation of deterministic domain wall trajectory in magnetic network structures by Sethi, Pankaj, Murapaka, Chandrasekhar, Goolaup, Sarjoosing, Chen, Yun Jie, Leong, Siang Huei, Lew, Wen Siang

“…The DW propagation in the network structure is governed by the geometrically induced potential barrier and pinning strength against the propagation. This technique can be extended for controlling the trajectory of magnetic charge carriers in an artificial spin ice lattice.…”
Get full text
Get full text

Design and investigation of air-cooled heat sinks using 3D printing technology by Lim, Ming Chong

“…This study presents the heat transfer performance of five pin fin heat sinks that have been fabricated using Selective Laser Melting. …”
Get full text

Real time analysis of social behavior from video and kinect recordings by Ramasamy, Pandi Ramesh

“…Finally,analysis will be performed using pattern recognition algorithms and machine learning classifiers to detect the emotion of the subject.In this project,machine learning classifiers such as K-nearest neighbors,Naive Bayes and C4.5 Decision tree learning has been used. The prime aim is to pin point the most seemly machine learning classifier for obtaining highest accuracy for classification.…”
Get full text

Parametric study of gravure printing process for R2R printed electronics by Pua, Suan Tai

“…In this study, however, various printing parameters were investigated to establish their effects on printed line width and film thickness, in an attempt to achieve fine line printing resolution over a large printing area. …”
Get full text

Spectroscopic study of emergent electronic phases in transition metal based compounds by Song, Qian

“…Antiferromagnets with non-relativistic spin splitting are outstanding candidates as the next generation of spintronic materials owing to their electron-volt (eV) scale spin splitting, ultrafast spin dynamics and nearly vanishing stray fields. …”
Get full text

Physics-Informed Deep Learning for Plasma Etch Optimization by Dighamber, Mohit

“…Future work includes utilizing the PINN model in a Bayesian framework to facilitate recipe optimization for the desired etch profile.…”
Get full text

Organic donor-acceptor cocrystals for multiferroic applications by Wang, Zongrui, Zhang, Qichun

“…The cocrystallization strategy has provided an efficient route to fulfill room temperature magnetoelectricity in single phase owing to the long-range ordered π-π stacking (donor-acceptor assembled) network, long-lived excitons (with μs lifetime), spin orders (±1/2 s pin) and charge transfer (CT) dipoles in the assembled crystal lattice. …”
Get full text